Alternatives and similar repositories for DTN

Users that are interested in DTN are comparing it to the libraries listed below

• liulu112601 / URT
  ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification
  ☆105Updated 4 years ago
• tankche1 / IDeMe-Net
  A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).
  ☆49Updated 5 years ago
• brjathu / SKD
  SKD : Self-supervised Knowledge Distillation for Few-shot Learning
  ☆102Updated 2 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆151Updated 4 years ago
• Yikai-Wang / ICI-FSL
  This repository contains the code for Instance Credibility Inference (ICI).
  ☆85Updated 4 years ago
• seongmin-kye / MCT
  Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
  ☆71Updated 4 years ago
• roysubhankar / dwt-domain-adaptation
  Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
  ☆65Updated 4 years ago
• tiangeluo / fsl-global
  Few-Shot Learning with Global Class Representations
  ☆74Updated 3 years ago
• zhmiao / OpenCompoundDomainAdaptation-OCDA
  Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
  ☆140Updated 4 years ago
• Boyiliee / MoEx
  MoEx (Moment Exchange)
  ☆141Updated 4 years ago
• dvornikita / fewshot_ensemble
  Ensembles of CNNs for few-shot image classification
  ☆53Updated 4 years ago
• chrysts / dsn_fewshot
  ☆91Updated 3 years ago
• VisionLearningGroup / visda21-dev
  ☆46Updated 4 years ago
• qy-feng / Margin-Openset
  [ICCV2019] Attract or Distract: Exploit the Margin of Open Set
  ☆35Updated 5 years ago
• thuml / TransNorm
  Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
  ☆79Updated 5 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 4 years ago
• WonderSeven / ULDA
  The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"
  ☆26Updated 3 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• nupurkmr9 / S2M2_fewshot
  ☆116Updated 4 years ago
• Panda-Peter / visda2019-multisource
  Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019
  ☆51Updated 6 years ago
• HAHA-DL / Episodic-DG
  This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
  ☆58Updated 2 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 4 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆107Updated 5 years ago
• PRIS-CV / OSLNet
  Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)
  ☆45Updated 5 years ago
• imtiazziko / LaplacianShot
  Laplacian Regularized Few Shot Learning
  ☆84Updated 3 years ago
• Jiaolong / self-supervised-da
  self-supervised domain adaptation
  ☆48Updated 6 years ago
• ChrisAllenMing / Mixup_for_UDA
  Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).
  ☆164Updated 5 years ago
• valeoai / BF3S
  Boosting Few-Shot Visual Learning with Self-Supervision
  ☆139Updated 6 years ago
• GT-RIPL / FeatMatch
  PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
  ☆50Updated 4 years ago
• RoyalVane / ASM
  ( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
  ☆71Updated 4 years ago